Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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Exploring the Role of Digital Twins in Heart Care: Research Directions and Applications.

The concept of digital twins has emerged as a transformative innovation in healthcare. Digital twins...

A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions.

BACKGROUND: The rapid advancement of Artificial Intelligence (AI) has led to its widespread applicat...

Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data.

Depression and anxiety are common comorbidities of stroke. Research has shown that about 30% of stro...

Ethics: Crisis Standards of Care Simulation.

Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, v...

Identifying Mild-to-Moderate Atopic Dermatitis Using a Generic Machine Learning Approach: A Danish National Health Register Study.

Atopic dermatitis is a chronic skin disease, causing itching and recurrent eczematous lesions. In Da...

Accuracy of Machine Learning Models to Predict In-hospital Cardiac Arrest: A Systematic Review.

PURPOSE/AIMS: Despite advances in healthcare, the incidence of in-hospital cardiac arrest (IHCA) has...

Rapid Response System Restructure: Focus on Prevention and Early Intervention.

This article describes the staged restructure of the rapid response program into a dedicated 24/7 pr...

Enhanced recovery programme in robotic hysterectomy.

The standard care for endometrial cancer includes total hysterectomy, bilateral salpingo-oophorectom...

Prognostic Value of the Brixia Radiological Score in COVID-19 Patients: A Retrospective Study from Romania.

The novel coronavirus pandemic, SARS-CoV-2, has a variable clinical spectrum, ranging from asymptoma...

User-Centered Methods in Explainable AI Development for Hospital Clinical Decision Support: A Scoping Review.

Explainable Artificial Intelligence (XAI) offers promising advancements in enhancing transparency an...

A novel approach to cancer treatment planning using inverse sum indeg index of fuzzy graphs.

Fuzzy graph theory, with its ability to handle uncertainty and varying relationship strengths, offer...

Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types.

The growing burden of cancer and recent surge in healthcare data availability call for new ways of a...

Reasoning language models for more transparent prediction of suicide risk.

BACKGROUND: We previously demonstrated that a large language model could estimate suicide risk using...

Radiomics prediction of surgery in ulcerative colitis refractory to medical treatment.

BACKGROUND: The surgeries in drug-resistant ulcerative colitis are determined by complex factors. Th...

Starting a synthetic biological intelligence lab from scratch.

Recent advances in artificial intelligence (AI) have led to the development and deployment of gigant...

Are Wearable ECG Devices Ready for Hospital at Home Application?

The increasing focus on improving care for high-cost patients has highlighted the potential of Hospi...

Deep Learning to Enhance Diagnosis and Management of Intrahepatic Cholangiocarcinoma.

Intrahepatic cholangiocarcinoma (iCCA) is associated with a poor prognosis and necessitates a multim...

Machine learning-based prediction of 90-day prognosis and in-hospital mortality in hemorrhagic stroke patients.

This study aims to predict hemorrhagic stroke outcomes, including 90-day prognosis and in-hospital m...

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